The NYU Grossman School of Medicine is hiring faculty at the Assistant and Associate Professor levels at the Precision Medicine Division, Department of Medicine. Headed by Dr. Morgan Grams, M.D. Ph.D., and Dr. Aristotelis Tsirigos, Ph.D., the Precision Medicine Division is a collaborative, interdisciplinary research unit and a hub of research expertise within the Department of Medicine. Faculty members include clinical researchers and data scientists in the School of Medicine who foster strong collaborations with the Department of Population Health, the Institute for System Genetics, and the Center for Data Science. Faculty will also consult on strategic technological decisions for NYU Grossman School of Medicine. Scientifically, the overarching goal of the Division is to produce evidence that informs the delivery of high-quality, equitable, and tailored patient care, responding rapidly to changes in health care guidelines, delivery, safety, and regulation. Research performed in the division spans the continuum from pre-clinical multimodal omics to analysis of real-world evidence to implementation science, with the singular goal of improving patients' lives.

We seek collaborative colleagues with a focus on large-scale multi-omics integration, machine learning computational and statistical modeling, as well as research using electronic health records, mobile health data and other real-world data. Interest in areas outside of cancer a plus.

Successful candidates will hold a primary faculty appointment in the Department of Medicine, and will have opportunities to participate in one or more graduate programs. The candidate is expected to lead her/his own research programs as well as foster collaborations throughout NYU Langone Health.

PhD in mathematics, epidemiology, biostatistics, computational biology, engineering, physics, or computer science, with applications in the life sciences. MDs with computational expertise are also encouraged to apply.

NYU Langone Medical Center is anequalopportunityand affirmative action employer committed to diversity and inclusion in all aspects of recruiting andemployment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, military and veteran status, genetic information or any other factor which cannot lawfully be used as a basis for anemploymentdecision. We require applications to be completed online.